Fraudlogix

Fraudlogix

Fraudlogix is a fraud prevention and detection software designed for ecommerce companies. It uses AI and machine learning to identify patterns and anomalies indicative of fraudulent orders and customers.
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fraud ecommerce machine-learning ai

Fraudlogix: AI-Powered Fraud Prevention for Ecommerce

Detect and prevent fraudulent orders and customers with Fraudlogix, a cutting-edge ecommerce fraud prevention software utilizing machine learning and AI.

What is Fraudlogix?

Fraudlogix is an advanced fraud prevention and detection software designed specifically for ecommerce merchants and payment service providers. It leverages artificial intelligence and machine learning algorithms to identify patterns, correlations, anomalies and data points indicative of fraudulent orders, customers and transactions in real-time.

The software analyzes hundreds of data points related to orders, customers, devices and locations to detect various types of ecommerce fraud such as promotion abuse, reseller networks, account takeovers, fake accounts and policy abuse. It offers flexible customizable rules and risk scoring models to fine tune the fraud screening process.

Key features include real-time order screening, customer authentication, device fingerprinting, proxy and VPN detection, shared device linking, FraudRing identification, dynamic block lists, data enrichment connectors and robust reporting. Fraudlogix helps merchants minimize chargebacks, revenue losses and reviewing time for orders flagged as risky or fraudulent.

The software easily integrates with all major shopping carts, payment systems and order management platforms. It is priced based on monthly order volumes making it accessible for merchants of all sizes. The software helps online retailers maximize revenue by optimizing the approval rate of legitimate orders.

Fraudlogix Features

Features

  1. Real-time fraud detection
  2. Customizable rules engine
  3. Machine learning algorithms
  4. Integration with payment gateways
  5. Order screening
  6. Customer profiling
  7. Reporting dashboard

Pricing

  • Subscription-Based

Pros

Effective at reducing fraud

Easy to implement

User-friendly interface

Automated workflows

Customizable to business needs

Cons

Can generate false positives

Requires large data sets for machine learning

May require IT resources to manage

Additional cost for businesses


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